Sugra Systems, Inc.
Sugra Systems builds intelligence infrastructure that makes institutional-grade data and AI accessible beyond banks, funds and governments. Its Sugra API unifies data from primary sources across markets, economics, corporate filings, climate, environment, predictions, digital economy and news, delivering it as LLM-ready JSON through REST and MCP.
At a Glance
- AI agent developers
- LLM application builders
- Fintech and data teams
- Research and analytics teams
- +4 more
AI Tools by Sugra Systems, Inc.
(1)
Sugra API
Unified Data API for AI Agents
Discussions
No discussions yet
Be the first to start a discussion about Sugra Systems, Inc.
Latest News
Why Your AI Assistant Needs a Data Connector; demonstrates live, source-grounded answers using Sugra API.
Why We Use FastAPI at Sugra; engineering article about the API stack.
The Sugra API MCP server is now in Anthropic's Connectors Directory.
The Sugra API Skills; announcement of API skills for agent workflows.
Products & Services
Cross-domain REST data API for AI agents and decision platforms. It normalizes data from primary sources into a consistent LLM-ready JSON envelope with data, metadata, source timestamps and semantic unit types.
Hosted MCP gateway and sugra-api-mcp package that expose the catalog as agent tools for searching endpoints, describing calls, resolving entities and executing requests; works with Claude, ChatGPT, Gemini and MCP clients.
Conversational API helper in development that finds the right endpoint and source, resolves entities and produces copy-ready calls over Sugra API MCP.
Custom software development and technology consulting, including web applications, API development, fintech solutions, AI integration, telecom solutions, financial-services technology and GIS solutions.
Market Position
Sugra positions itself as a cross-domain alternative to narrow, single-domain data APIs and expensive institutional terminals: one key and one normalized, LLM-ready envelope across finance, macroeconomics, physical-world, internet and news data. Its differentiators are broad primary-source coverage, automatic failover, provenance metadata, MCP-native access and no feature gating by domain. Competitors include single-domain financial-data providers, weather and news APIs, macro-data APIs, and developer platforms that require multiple integrations.
Leadership
Founders
Arman Obosyan
Technology executive and founder. Previously worked in commercial banking at IntellectBank and Bank of Georgia; led IT infrastructure at the National Bank of Georgia; founded High-Tech Solutions in 2008; was a Microsoft MVP and spent nearly seven years at Microsoft in technology strategy, business development and public-sector transformation; later held leadership roles at Hexa Cloud, OnCloud, Span and SkyTel.
Executive Team
Arman Obosyan
Founder & CEO
Nearly three decades across banking, central banking, Microsoft, government technology, cloud consulting, data-center design, telecom and AI; also a Microsoft MVP and founder of High-Tech Solutions.
Founding Story
The idea was born in 2019 from the belief that professional teams had better proprietary data feeds, terminals and analytics than the broader market. In 2020 the mission became making institutional-grade data and AI accessible to everyone; the company says it began building with OpenAI through Microsoft for Startups before the current generative-AI boom, and incorporated in Delaware in September 2021.
Business Model
Revenue Model
Self-serve subscription/API access priced by daily request or lookup volume; all plans include the same endpoint and source catalog. The company also sells custom development and technology consulting to businesses.
Pricing Tiers
50 requests/day; all 1,670 endpoints and 195 sources; up to 2 API keys.
1,000 data lookups/day inside an AI assistant; for individuals.
5,000 requests/day; up to 5 API keys; for individuals.
50,000 requests/day; up to 10 API keys; priority email support; for individuals and companies.
Target Markets
- AI agent developers
- LLM application builders
- Fintech and data teams
- Research and analytics teams
- Financial institutions and capital-markets users
- Operations, logistics, insurance and supply-chain teams
- AI agents and LLM applications needing grounded live data
- Fintech applications, financial research and analytics
- Research desks and internal BI dashboards
- Executive reporting, finance operations and data products
- Logistics and dispatch decisions using weather, disasters and trade data
- Port, insurer and supply-chain risk monitoring